Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
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Updated
Oct 8, 2026 - Go
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
Automatically translate JSON files while preserving their original structure.
End-to-end SQL Server ETL pipeline utilizing Python for data transformation, and SQL Agent for automated scheduling. Features a custom framework for logging, error handling, and business logic automation via Stored Procedures.
Python backend project focused on data processing and automation. Includes a modular architecture, a full CLI interface, JSON merging workflow, data validation, logging system, and reporting tools. Designed as a real backend pipeline for inventory updates and transformations.
A robust ETL pipeline using n8n and Python to sanitize raw JSON data, demonstrating hybrid low-code orchestration with custom script-based data transformation.
Examples on how to process json files in Python
Intelligent CLI media file renamer - Java 21, TMDB/MusicBrainz enrichment, SQLite cache
Dependency-free Python CSV/JSON automation with validation, retries, logging, rejection reports, and summaries.
Dynamic generator for Oracle MERGE scripts aligned to Oracle Utilities Application Framework (OUAF) standards, handling Maintenance Object (MO) JSON parsing, key-based ON clauses, and full datatype mappings.
Small real-world jq recipes for filtering, transforming, aggregating, and exploring JSON from the command line.
car valuation and specs tool
Analytical system for consolidating and processing personal financial data. Utilizes Pandas for transaction analysis and integrates with the Central Bank of Russia API.
Was exploring Shamir’s Secret Sharing by implementing polynomial-based secret recovery using Lagrange interpolation. Built as a learning project to practice cryptographic concepts, multi-base number conversion, and JSON data handling in C++.
Social media data pipeline — OOP architecture, sentiment analysis with TextBlob, and data visualization using Pandas and Matplotlib.
Configuration-driven ETL pipeline for ingesting CSV, JSON, and API data into PostgreSQL with validation, staging, and reject handling.
Python developer focused on NLP and data engineering. Building EVTL pipelines to extract, validate, and transform API-based JSON data into structured datasets.
A Go-based data exploration engine analyzing the spurious correlation between Martian surface temperatures and global oil prices.
A powerful, full-stack Open Source Intelligence (OSINT) workstation that automates username footprinting across the web. The platform utilizes an asynchronous decoupled architecture to execute background investigations, stream network telemetry, and compile raw data into a clean, human-readable visual intelligence dossier.
This repository provides a tool to convert JSON data to Excel format (.xlsx). It allows you to easily transform structured JSON data into a well-organized spreadsheet for better analysis and visualization.
A lightweight toolkit for sanitizing, masking, and safely encoding user input across multiple languages.
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